Acceptance model of precast concrete components in building construction based on Technology Acceptance Model (TAM) and Technology, Organization, and Environment (TOE) framework

Katebi, Ali; Homami, Peyman; Najmeddin, Mohammad

doi:10.1016/j.jobe.2021.103518

Cited by 54 publications

(53 citation statements)

References 99 publications

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“…where Following Hieu et al (2021) and Katebi et al (2022), we use Akaike's information criterion (AIC) and the Bayesian information criterion (BIC) to confirm the effectiveness of the GSEM. Two indexes are calculated as follows:…”

Section: Model Of Estimationmentioning

confidence: 99%

‘They convert, I also convert’: the neighborhood effects and tea farmers' intention to convert to organic farming

Van

Heo

Doanh

2023

Renew. Agric. Food Syst.

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This study aims to analyze the influence of neighborhood effects (NE) on tea farmers' intention to convert from traditional to organic farming in the mountainous areas of northern Vietnam. It differs from previous studies in two aspects. First, we combine the theory of planned behavior and the theory of herd behavior to explain farmers' intention to convert from traditional to organic farming, focusing on the impact of the NE. Secondly, to measure NE, we use a combination of questionnaires and methods of measuring herd behavior by McCartney and Shah. Using the generalized structural equation modeling and data collected from 263 tea farmers in Thai Nguyen, we found that NE has a positive and direct significant effect on farmers' intention to convert to organic tea production in the case where neighbors both live nearby and have a close relationship with the subject. In addition, it indirectly impacts farmers' conversion intention through attitude, subjective norms and perceived behavior control. To encourage tea farmers to convert to organic farming, policymakers and extension workers should take advantage of the NE to increase farmers' confidence about the benefits and the possibility of successful organic farming.

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Section: Model Of Estimationmentioning

confidence: 99%

‘They convert, I also convert’: the neighborhood effects and tea farmers' intention to convert to organic farming

Van

Heo

Doanh

2023

Renew. Agric. Food Syst.

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“…External variables of the technology acceptance model used in our research were based on the technology-organisation-environment (TOE) framework suggested by Tornatzky et al [38] (see Figure 2). The TOE framework provides three contexts that may affect an organisation's information technology adoption process: technological, organisational, and environmental [38,39]. While this framework was suitable for explaining technology acceptance and dissemination from the organisation's point of view, TOE has frequently been applied in research regarding corporations [40][41][42][43].…”

Section: Technology Acceptance Model and Technology-organisation-environment Frameworkmentioning

confidence: 99%

Acceptance Model of Artificial Intelligence (AI)-Based Technologies in Construction Firms: Applying the Technology Acceptance Model (TAM) in Combination with the Technology–Organisation–Environment (TOE) Framework

Heo

Han

et al. 2022

Buildings

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In the era of the Fourth Industrial Revolution, artificial intelligence (AI) is a core technology, and AI-based applications are expanding in various fields. This research explored the influencing factors on end-user’s intentions and acceptance of AI-based technology in construction companies using the technology acceptance model (TAM) and technology–organisation–environment (TOE) framework. The analysis of end-users’ intentions for accepting AI-based technology was verified by applying the structure equation model. According to the research results, the technological factors along with external variables and an individual’s personality had a positive influence (+) on the perceived usefulness and the perceived ease of use of end-users of AI-based technology. Conversely, environmental factors such as suggestions from others appeared to be disruptive to users’ technology acceptance. In order to effectively utilise AI-based technology, organisational factors such as the support, culture, and participation of the company as a whole were indicated as important factors for AI-based technology implementation.

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“…The costs incurred for technology have a direct effect on an individual's intention to adopt the technology. Regardless of the individual's perception of technology acceptance, the greater the efficiency and productivity of this technology, the easier it is for users to control costs in technology implementation (Katebi et al, 2022).…”

Section: B the Cost Of Implementing Technology Is More Economicalmentioning

confidence: 99%

“…Technology implementation costs refer to items such as investment costs, transportation costs, and costs associated with using the technology itself for business continuity (Katebi et al, 2022). The investment intended by MSME actors is the use of fees for purchasing internet quotas in the use of social media such as: Instagram, Facebook and Marketplaces such as: Shopee, Tokopedia which are used by MSME actors.…”

Section: B the Cost Of Implementing Technology Is More Economicalmentioning

confidence: 99%

"Not a lot of benefits, but you can survive”, the role of technology in micro business resilience during the Covid-19 pandemic

Gandoriah

Siskawati

Zahara

et al. 2022

esber

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The existence of the Indonesian MSME group is recognized as the backbone of national economic development. However, the limited resources of MSME actors are a challenge for MSME actors in adjusting to environmental changes and adapting to the digital technology used. Therefore, this study aims to see and explore the acceptance model of digital technology in the resilience of micro-enterprises in the city of Padang. This research is a non-positivism research with a phenomenological design. The object of this research is micro-enterprises in the city of Padang, selected purposively with snowball sampling. Data was collected by means of in-depth interviews and naturalistic observations. The results of this study found that digital technology helps micro-enterprises to survive during the COVID-19 pandemic. In addition, the cost of implementing the technology tends to be more economical. The use of technology is able to create a wider target market. This research provides an understanding of the role of digital technology in maintaining the resilience of micro-enterprises during the COVID-19 pandemic.

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Acceptance model of precast concrete components in building construction based on Technology Acceptance Model (TAM) and Technology, Organization, and Environment (TOE) framework

Cited by 54 publications

References 99 publications

‘They convert, I also convert’: the neighborhood effects and tea farmers' intention to convert to organic farming

‘They convert, I also convert’: the neighborhood effects and tea farmers' intention to convert to organic farming

Acceptance Model of Artificial Intelligence (AI)-Based Technologies in Construction Firms: Applying the Technology Acceptance Model (TAM) in Combination with the Technology–Organisation–Environment (TOE) Framework

"Not a lot of benefits, but you can survive”, the role of technology in micro business resilience during the Covid-19 pandemic

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